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Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications

5 November 2021

Papers citing "Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications"

20 / 20 papers shown

Title
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth Jeff Calder Mahmood Ettehad 64 16 0 17 Feb 2022
Eikonal depth: an optimal control approach to statistical depths M. Molina-Fructuoso Ryan W. Murray MDE 65 4 0 14 Jan 2022
Minimax Boundary Estimation and Estimation with Boundary Eddie Aamari C. Aaron Clément Levrard 77 10 0 06 Aug 2021
Solving PDEs on Unknown Manifolds with Machine Learning Senwei Liang Shixiao W. Jiang J. Harlim Haizhao Yang AI4CE 78 16 0 12 Jun 2021
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 61 31 0 13 Jul 2020
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates Jeff Calder D. Slepčev Matthew Thorpe 45 27 0 04 Jun 2020
Spectral Clustering Revisited: Information Hidden in the Fiedler Vector Adela DePavia Stefan Steinerberger 47 8 0 22 Mar 2020
A continuum limit for the PageRank algorithm Amber Yuan Jeff Calder Braxton Osting 62 19 0 24 Jan 2020
Nonparametric Confidence Regions for Level Sets: Statistical Properties and Geometry Wanli Qiao W. Polonik 43 17 0 04 Mar 2019
A maximum principle argument for the uniform convergence of graph Laplacian regressors Nicolas García Trillos Ryan W. Murray 52 20 0 29 Jan 2019
When Locally Linear Embedding Hits Boundary Hau‐Tieng Wu Nan Wu 50 11 0 11 Nov 2018
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator Nicolas García Trillos Moritz Gerlach Matthias Hein D. Slepčev 98 173 0 30 Jan 2018
The game theoretic p-Laplacian and semi-supervised learning with few labels Jeff Calder 49 77 0 28 Nov 2017
Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data Jeff Calder 55 62 0 28 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 2017
Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation Eddie Aamari Clément Levrard 160 75 0 02 May 2017
Density Estimation on Manifolds with Boundary Tyrus Berry T. Sauer 20 44 0 26 Nov 2015
Density Level Sets: Asymptotics, Inference, and Visualization Yen-Chi Chen Christopher R. Genovese Larry A. Wasserman 66 99 0 21 Apr 2015
Monge-Kantorovich Depth, Quantiles, Ranks, and Signs Victor Chernozhukov Alfred Galichon Marc Hallin Marc Henry 157 244 0 29 Dec 2014
A nonparametric approach to the estimation of lengths and surface areas Antonio Cuevas R. Fraiman Alberto Rodríguez-Casal 127 60 0 16 Aug 2007